亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整的填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

An age‐period‐cohort approach to studying long‐term trends in obesity and overweight in England (1992–2019)

超重 医学 肥胖 队列 人口学 可能性 代群效应 逻辑回归 队列研究 优势比 出生体重 老年学 儿科 怀孕 内科学 社会学 生物 遗传学
作者
Magdalena Opazo Bretón,Laura A. Gray
出处
期刊:Obesity [Wiley]
卷期号:31 (3): 823-831
标识
DOI:10.1002/oby.23657
摘要

This study aims to understand long-term trends in obesity and overweight in England by estimating life-course transitions as well as historical and birth cohort trends for both children and adults.Data on individuals aged 5 to 85 years old from the Health Survey for England were used, covering the period 1992 to 2019 and birth cohorts born between 1909 and 2013. Individual BMI values were classified as healthy weight, overweight, or obesity. Trends were compared, and an age-period-cohort model was estimated using logistic regression and categorical age, period, and cohort groups.There was significant variation in age trajectories by birth cohorts for healthy weight and obesity prevalence. The odds of having obesity compared with a healthy weight increased consistently with age, increased throughout the study period (but faster between 1992 and 2001), and were higher for birth cohorts born between 1989 and 2008. The odds of having overweight showed an inverted U-shape among children, increased through adulthood, have been stable since 2012, and were considerably higher for the youngest birth cohort (2009-2013).Younger generations with higher overweight prevalence coupled with increasing obesity prevalence with age suggest that obesity should remain a high priority for public health policy makers in England.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
9秒前
1111发布了新的文献求助10
15秒前
19秒前
迷路的问儿应助白华苍松采纳,获得10
20秒前
snah完成签到 ,获得积分10
21秒前
康康XY完成签到 ,获得积分10
26秒前
1111完成签到,获得积分10
28秒前
胡庆余完成签到 ,获得积分10
40秒前
矿渣完成签到,获得积分10
42秒前
希望天下0贩的0应助aass采纳,获得10
45秒前
51秒前
FashionBoy应助Wri采纳,获得10
52秒前
1分钟前
酷波er应助yaoyh_gc采纳,获得10
1分钟前
wanci应助Wri采纳,获得10
1分钟前
qrwyqjbsd应助Wri采纳,获得10
1分钟前
1分钟前
Ashley完成签到 ,获得积分10
1分钟前
1分钟前
科研通AI2S应助科研通管家采纳,获得10
1分钟前
大模型应助buder采纳,获得10
1分钟前
1分钟前
Wri完成签到,获得积分10
2分钟前
XinEr完成签到 ,获得积分10
2分钟前
Wri发布了新的文献求助10
2分钟前
情怀应助等待秀采纳,获得10
2分钟前
2分钟前
爱静静完成签到,获得积分0
2分钟前
等待秀发布了新的文献求助10
2分钟前
2分钟前
buder完成签到,获得积分10
2分钟前
潇洒的奇异果完成签到,获得积分10
2分钟前
绍成完成签到 ,获得积分10
2分钟前
思源应助chentutu采纳,获得10
2分钟前
可爱的函函应助等待秀采纳,获得10
2分钟前
2分钟前
等待秀发布了新的文献求助10
3分钟前
my完成签到 ,获得积分10
3分钟前
Jasper应助等待秀采纳,获得10
3分钟前
Andy_2024完成签到,获得积分10
3分钟前
高分求助中
Production Logging: Theoretical and Interpretive Elements 2500
Healthcare Finance: Modern Financial Analysis for Accelerating Biomedical Innovation 2000
Applications of Emerging Nanomaterials and Nanotechnology 1111
Agaricales of New Zealand 1: Pluteaceae - Entolomataceae 1040
Les Mantodea de Guyane Insecta, Polyneoptera 1000
Neuromuscular and Electrodiagnostic Medicine Board Review 700
지식생태학: 생태학, 죽은 지식을 깨우다 600
热门求助领域 (近24小时)
化学 医学 材料科学 生物 工程类 有机化学 生物化学 纳米技术 内科学 物理 化学工程 计算机科学 复合材料 基因 遗传学 物理化学 催化作用 细胞生物学 免疫学 电极
热门帖子
关注 科研通微信公众号,转发送积分 3466780
求助须知:如何正确求助?哪些是违规求助? 3059575
关于积分的说明 9067114
捐赠科研通 2750043
什么是DOI,文献DOI怎么找? 1508934
科研通“疑难数据库(出版商)”最低求助积分说明 697124
邀请新用户注册赠送积分活动 696896